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Proceedings Paper

Multispectral change detection
Author(s): Tamar Peli; Mon Young; Kenneth K. Ellis
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Paper Abstract

A novel automatic change detection procedure has been developed using multi-spectral imagery for a number of important applications including the surveillance of enemy military installations, detection of military vehicle movements, battle damage assessments and monitoring of environmental changes. The proposed approach consists of key algorithm components that includes data normalization, image registration and distance measurement. The algorithm is selected based on performance and computational considerations for near real-time implementation. Limited study on real multi-spectral data has shown that the performance of our proposed change detection approach is far superior to that of standard techniques. Example results using M7 imagery are presented to illustrate the performance improvements of this approach over the other techniques.

Paper Details

Date Published: 4 August 1997
PDF: 9 pages
Proc. SPIE 3071, Algorithms for Multispectral and Hyperspectral Imagery III, (4 August 1997); doi: 10.1117/12.280593
Show Author Affiliations
Tamar Peli, Atlantic Aerospace Electronics Corp. (United States)
Mon Young, Atlantic Aerospace Electronics Corp. (United States)
Kenneth K. Ellis, Atlantic Aerospace Electronics (United States)


Published in SPIE Proceedings Vol. 3071:
Algorithms for Multispectral and Hyperspectral Imagery III
A. Evan Iverson; Sylvia S. Shen, Editor(s)

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